David Kaftan

Senior System Analyst at NYU Langone Health

Milwaukee, Wisconsin, United States
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Summary

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Senior
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David Kaftan is a senior system analyst and award-winning data scientist with 11 years of experience building production-ready analytic systems and forecasting models. He combines strong software engineering practices (automated testing, CI, packaged R libraries) with applied modeling and ML, having deployed large-scale energy and public-health forecasts to Azure and SQL-backed production pipelines. His work informed public health responses (Mpox forecasting for NYC) and program planning for foundations like Bill & Melinda Gates and CHAI, and he presented findings at CROI and ODSC Europe. He has led cross-disciplinary projects from PyTorch computer vision on satellite imagery to TensorFlow-based feature reduction for million-customer energy forecasts. David also teaches advanced computer engineering and has published first-author research on data generation, reflecting a rare mix of academic rigor and operational delivery. Based in Milwaukee, he’s skilled at turning complex epidemiological and utility datasets into reliable, auditable decision tools.
code11 years of coding experience
job8 years of employment as a software developer
bookMaster's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at Marquette University
bookHigh School Diploma, High School Diploma at Creighton Prep
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Github Skills (54)

odk10
data-collection10
java10
android-app10
mhealth10
android10
xforms10
pandas9
python9
r-library9
quantile-regression8
stochastic8
intellisense8
datetime7
dates7

Programming languages (9)

TypeScriptJavaRCJavaScriptF#PythonFortran

Github contributions (5)

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BershteynLab/EMODAnalyzeR

Mar 2022 - Jan 2023

Home of package used to load, aggregate, analyze, and visualize outputs from batches of EMOD simulations
Contributions:8 reviews, 80 commits, 64 PRs in 10 months
outputsvisualizesimulationssimulationaggregate
quantregpy/quantregpy

Aug 2020 - Oct 2021

A translation of the popular R library quantreg to python for quantile regression
Contributions:4 reviews, 36 commits, 23 PRs in 1 year 2 months
pythonquantile-regressionrr-library
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